USE OF NOAA REMOTE SENSING DATA FOR ASSESSMENT OF THE FOREST AREA OF LIBERIA | Land Portal

Resource information

Date of publication: 
December 1993
Resource Language: 
ISBN / Resource ID: 
FAODOCREP:2a250e44-416b-5318-bb2e-002548225d8f
Pages: 
31
License of the resource: 
Copyright details: 
© FAO. FAO is committed to making its content freely available and encourages the use, reproduction and dissemination of the text, multimedia and data presented. Except where otherwise indicated, content may be copied, printed and downloaded for private study, research and teaching purposes, and for use in non-commercial products or services, provided that appropriate acknowledgement of FAO as the source and copyright holder is given and that FAO's endorsement of users' views, products or services is not stated or implied in any way.

In the context of developing a practicable and cost effective method for obtaining a country’s forest area by remote sensing, the computer processing of NOAA AVHRR HRPT data covering Liberia was investigated. The only cloud-free scene then recorded turned out to be severely and unevenly affected by atmospheric haze. To mitigate the effects of this, the country was divided into six areas (strata) of more uniform haze conditions. Pixel DN values were obtained for forest and adjoining formations on transects within each stratum, for the first four AVHRR channels and three transforms: NDVI (2-1/2 + 1), IND3 (3-2/3 + 2), IND4(4-2/4 + 2). After analyzing the transects and comparing them with the available reference data (a mixture of large scale colour composite Landsat TM and MSS images for 1989 and 1986 respectively), channels 2, 3, 4 and IND3 were retained for processing. This was done by applying three methods to each stratum - thresholding, maximum likelihood classification using clustering signatures (hybrid), m.l.c. using training area signatures - and directed at separating the 5 main classes distinguishable on the Landsat images: Closed forest, Disturbed forest, Shifting cultivation and regrowth, Cultivation and Other.

Authors and Publishers

Author(s), editor(s), contributor(s): 

H.-J. Stibig and R. Baltaxe
Forestry Department
Forest management Division
Tafuro, Susy (FOPE)

Corporate Author(s): 
Publisher(s): 

Data provider

Share this page